AI Law & Ethics: developing responsible AI systems
summary
Argues that ethics can be measured with data and must be engineered into systems through legal and technical work rather than rhetoric, citing the EU risk-based AI Act and requirements like documentation, testing and continuous monitoring. Gives a concrete deal case where a startup product drops in sale value from 1.2 million to 135,000 after legal review for data protection gaps, and recommends early collaboration between developers, lawyers and policymakers to avoid costly rewrites.
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chapters (8)
- 0:00Introduction to AI ethics
- 1:29Ethics in Disney’s storytelling
- 3:14Defining ethics and relativity
- 5:40Ethics in AI development
- 7:03EU AI Act and regulation
- 10:19Legal risks in AI product development
- 12:52Balancing innovation and ethics
- 14:19Q&A on ethics and values
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